Triple
T10652487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tiyo Soga |
E251006
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Soga |
E491287
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Soga | Statement: [Tiyo Soga, familyName, Soga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soga Context triple: [Tiyo Soga, familyName, Soga]
-
A.
Soga clan
chosen
The Soga clan was a powerful aristocratic family in early Japan that played a central role in promoting Buddhism and shaping the politics of the Asuka period.
-
B.
Rikitea
Rikitea is the principal village and administrative hub of the Gambier Islands in French Polynesia, known for its lagoon setting and pearl-farming activities.
-
C.
Mutsu
Mutsu was a Japanese Nagato-class battleship of the Imperial Japanese Navy that served prominently during the interwar period and World War II before being destroyed by an internal explosion in 1943.
-
D.
Obihiro
Obihiro is a mid-sized city in eastern Hokkaido, Japan, known for its agricultural production, horse racing, and cold, snowy winters.
-
E.
Arinori
Arinori was a given name of Mori Arinori, a prominent Meiji-era Japanese statesman and reformer known for modernizing Japan’s education system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dff78ec88190a4d1863fe87245f6 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98857ec248190bb655d36981a000a |
completed | April 10, 2026, 11:31 p.m. |
Created at: April 8, 2026, 9:06 p.m.